Performance analysis of self-organising neural networks tracking algorithms for intake monitoring using kinect

The analysis of intake behaviour is a key factor to understand the health condition of a subject, such as elderly or people affected by diet-related disorders. The technology can be exploited for this purpose to promptly identify anomalous situations. To this end, the point cloud, provided by a dept...

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Veröffentlicht in:	IET International Conference on Technologies for Active and Assisted Living (TechAAL) S. 6
Hauptverfasser:	Gasparrini, S, Cippitelli, E, Gambi, E, Spinsante, S, Florez-Revuelta, F
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Stevenage, UK IET 2015 The Institution of Engineering & Technology
Schlagworte:	Biology and medical computing Neural computing techniques Social and behavioural sciences computing medical disorders self-organising feature maps health condition behavioural sciences kinect point cloud diet related disorders elderly people depth camera self organising neural networks tracking algorithms performance analysis intake monitoring
ISBN:	1785611593, 9781785611599
Online-Zugang:	Volltext
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